Dec 2023 – Present · 2 yrs 6 mos · Navi Mumbai, Maharashtra, India · On-site

• Developed an anomaly detection system using the Median Absolute Deviation (MAD) algorithm to flag irregular
• patterns in network KPIs and integrated with a Teams webhook to deliver real-time anomaly alerts, reducing
• manual investigation time by 40% and improving incident response efficiency.
• Designed and implemented an end-to-end firmware monitoring pipeline using PySpark on Databricks, enabling
• automated processing and aggregation of device metrics across multiple categories. Integrated the output with
• Office 365 tools (Excel, SharePoint) using Python for seamless stakeholder access, resulting in an 85%
• reduction in processing time and significantly improved reporting efficiency.
• Optimized Jio’s FTTX ecosystem by designing SQL workflows and scheduled Databricks tasks, improving
• operational efficiency by 50% and delivering insights into device usage, connectivity, and feature adoption for
• targeted improvements.
• Built and implemented a PySpark-based ETL pipeline to extract, transform, and load customer device details into
• an Amazon S3 bucket through Databricks in Delta and Parquet formats.
• Built real-time Tableau dashboards to visualize key performance metrics, enhancing visibility into device
• reliability and usage patterns for executive decision-making.